This study employed a comprehensive machine learning framework to analyze women’s representation in STIP across 60 countries, utilizing a small tabular dataset with 5 numerical features and 1 categorical feature. We implemented a supervised…
Applying machine learning to gauge the number of women in science, technology, and innovation policy (STIP): a model to accommodate missing data
